Music Identification Using Its Pattern

  • Islam, Mohammad Khairul (Department of Information and Telecommunications Engineering, Korea Aerospace University) ;
  • Lee, Hyung-Jin (Department of Information and Telecommunications Engineering, Korea Aerospace University) ;
  • Paul, Anjan Kumar (Department of Information and Telecommunications Engineering, Korea Aerospace University) ;
  • Baek, Joong-Hwan (Department of Information and Telecommunications Engineering, Korea Aerospace University)
  • Published : 2007.07.11

Abstract

In this method, we extract peak periods using energy contents of each segment of music. This feature extraction method is equally applied on both the training and query music. Similarity matching algorithm is applied on the extracted feature values for identifying the query music from the database. The retrieval accuracy of 95% of our method is a pretty good result.

Keywords